Litcius/Paper detail

Application of Design of Experiments® Approach-Driven Artificial Intelligence and Machine Learning for Systematic Optimization of Reverse Phase High Performance Liquid Chromatography Method to Analyze Simultaneously Two Drugs (Cyclosporin A and Etodolac) in Solution, Human Plasma, Nanocapsules, and Emulsions

Syed Nazrin Ruhina Rahman, Oly Katari, Datta Maroti Pawde, Gopi Sumanth Bhaskar Boddeda, Abhinab Goswami, Srinivasa Rao Mutheneni, Tamilvanan Shunmugaperumal

2021AAPS PharmSciTech28 citationsDOI

Topics & Concepts

Quality by DesignRepeatabilityCritical quality attributesRobustness (evolution)High-performance liquid chromatographyChromatographyMean squared errorCorrelation coefficientDesign of experimentsCentral composite designFactorial experimentLinearityBiological systemChemistryMathematicsComputer scienceResponse surface methodologyMachine learningStatisticsEngineeringParticle sizeElectrical engineeringPhysical chemistryGeneBiochemistryBiologyAnalytical Methods in PharmaceuticalsAnalytical Chemistry and ChromatographyAdvanced Drug Delivery Systems
Application of Design of Experiments® Approach-Driven Artificial Intelligence and Machine Learning for Systematic Optimization of Reverse Phase High Performance Liquid Chromatography Method to Analyze Simultaneously Two Drugs (Cyclosporin A and Etodolac) in Solution, Human Plasma, Nanocapsules, and Emulsions | Litcius